Chris Waller
Impact in
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- Computational Drug Discovery Methods
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- Effects and risks of endocrine disrupting chemicals
Papers in
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- Computational Drug Discovery Methods 12
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- Genetics, Bioinformatics, and Biomedical Research 4
- Protein Structure and Dynamics 2
- Chemical Synthesis and Analysis 2
- Co-authors
- Garland R. Marshall (6 shared papers)Tudor I. Oprea (6 shared papers)Alessandro Giolitti (2 shared papers)Mark L. Smythe (1 shared paper)Richard D. Head (1 shared paper)Kenneth S. Korach (1 shared paper)William Kelce (1 shared paper)Susan Laws (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Drug Discovery Today (2 papers)Pharmaceutical Research (1 paper)Journal of the American Chemical Society (1 paper)Chemical Research in Toxicology (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Chris Waller
13 papers receiving 713 citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 447
- Health, Toxicology and Mutagenesis 92
- Organic Chemistry 183
- Molecular Biology 378
- Toxicology 14
Countries citing papers authored by Chris Waller
This map shows the geographic impact of Chris Waller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chris Waller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Waller more than expected).
Fields of papers citing papers by Chris Waller
This network shows the impact of papers produced by Chris Waller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chris Waller. The network helps show where Chris Waller may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Waller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 171 | |
| 2 | 1996 | 157 | |
| 3 | 1993 | 120 | |
| 4 | 1994 | 102 | |
| 5 | 2009 | 85 | |
| 6 | 1993 | 58 | |
| 7 | 2012 | 29 | |
| 8 | 2007 | 20 | |
| 9 | 2010 | 16 | |
| 10 | 2018 | 7 | |
| 11 | 2015 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 1994 | 1 | |
| 14 | 2004 | 0 |
About Chris Waller
Chris Waller is a scholar working on Computational Theory and Mathematics, Molecular Biology, Infectious Diseases, Virology and Information Systems and Management, having authored 14 papers that have together received 773 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (2 papers), Protein Structure and Dynamics (2 papers), Chemical Synthesis and Analysis (2 papers), Academic Publishing and Open Access (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (447 citations), Health, Toxicology and Mutagenesis (92 citations), Organic Chemistry (183 citations), Molecular Biology (378 citations) and Toxicology (14 citations). Chris Waller has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Garland R. Marshall, Tudor I. Oprea, Alessandro Giolitti, Mark L. Smythe, Richard D. Head, Kenneth S. Korach, William Kelce, Susan Laws, Thomas Wiese and Kun Chae. Their work appears in journals such as Journal of Medicinal Chemistry, Drug Discovery Today, Pharmaceutical Research, Journal of the American Chemical Society and Chemical Research in Toxicology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.